Evidence map›Paper›PMID 36527499›Full record

ArticleActa diabetologica2023

Intakes of omega-3 fatty acids and risks of all-cause and cause-specific mortality in people with diabetes: a cohort study based on NHANES 1999-2014.

Jing Xie, Zhenwei Wang, Junjie Wang, Wei Feng, Tao Shan, Shenqi Jing, Shengjue Xiao, Wei Li, Naifeng Liu, Yun Liu

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Article in Acta diabetologica, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.7field-weighted citation impact, top 17% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 15 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors at 4 institutions in 1 country.

Jing Xie *College of Basic Medicine and Clinical Pharmacy, China Pharmaceutical University, Nanjing, China.
Zhenwei Wang *Department of Cardiology, School of Medicine, Zhongda Hospital, Southeast University, Nanjing, China.
Junjie WangDepartment of Medical Informatics, School of Biomedical Engineering and Informatics, Nanjing Medical University, Nanjing, China.
Wei FengDepartment of Medical Informatics, School of Biomedical Engineering and Informatics, Nanjing Medical University, Nanjing, China.
Tao ShanDepartment of Medical Informatics, School of Biomedical Engineering and Informatics, Nanjing Medical University, Nanjing, China.
Shenqi JingDepartment of Medical Informatics, School of Biomedical Engineering and Informatics, Nanjing Medical University, Nanjing, China.
Shengjue XiaoDepartment of Cardiology, School of Medicine, Zhongda Hospital, Southeast University, Nanjing, China.
Wei LiDepartment of Cardiology, The Affiliated Hospital of Yangzhou University, Yangzhou University, Yangzhou, China.
Naifeng LiuCollege of Basic Medicine and Clinical Pharmacy, China Pharmaceutical University, Nanjing, China. liunf@seu.edu.cn.ORCID http://orcid.org/0000-0002-8142-3237
Yun LiuDepartment of Medical Informatics, School of Biomedical Engineering and Informatics, Nanjing Medical University, Nanjing, China. liuyun@njmu.edu.cn.
Nanjing Medical University · CNChina Pharmaceutical University · CNZhongda Hospital Southeast University · CNYangzhou University · CN

Funding

The Industrial and Information Industry Transformation and Upgrading Special Fund of Jiangsu Province in 2018 [2019]55The Industrial and Information Industry Transformation and Upgrading Special Fund of Jiangsu Province in 2021 [2021]92The industry prospecting and common key technology key projects of Jiangsu Province Science and Technology Department BE2020721The National key Research & Development plan of Ministry of Science and Technology of China 2018YFC1314900The National key Research & Development plan of Ministry of Science and Technology of China 2018YFC1314901
6 · The paper itself

Abstract

aimsIntake of omega-3 fatty acids is associated with several health benefits, but the specific benefits in populations with diabetes have yet to be elucidated. Therefore, this study aimed to explore the relationship between intake of omega-3 fatty acids and mortality in people with diabetes.

methodsThis was a prospective cohort study and included 4854 participants with diabetes (mean age, 57.92 years; 50.9% male) from the National Health and Nutrition Examination Survey (1999-2014). Eicosapentaenoic (EPA) and docosahexaenoic (DHA) acid intake were used as alternative markers of omega-3 fatty acids intake and calculated based on the sum of the 24-h dietary recall interviews and dietary supplements. Mortality data were ascertained by linkage to National Death Index records by December 31, 2015. Cox proportional hazard models and restricted cubic spline were used to assess the relationship between EPA and DHA intake and all-cause and cause-specific mortality. Statistical analyses were performed using R 4.2.0 software.

resultsCompared with participants with a lower EPA + DHA intake, participants who had a higher EPA + DHA intake tended to be Non-Hispanic Black; were more likely to be obese; and had higher daily energy intake and family income. During 34,386 person-years of follow-up, 1102 deaths were documented, including 266 cardiovascular disease deaths and 152 cancer deaths. In multivariable regression analyses with adjustment of confounding factors, higher EPA + DHA intake was significantly and linearly related to lower all-cause mortality: there was a 25% reduced risk of all-cause mortality.

conclusionsHigher omega-3 fatty acid intake was independently related to lower all-cause mortality in individuals with diabetes, suggesting an adequate intake of omega-3 fatty acids may prevent premature death among the population with diabetes.

Indexed as

Diabetes MellitusFatty Acids, Omega-3Cause of DeathCohort StudiesDocosahexaenoic AcidsEicosapentaenoic AcidFemaleHumansMaleMiddle AgedNutrition SurveysProspective StudiesDocosahexaenoic AcidsEicosapentaenoic AcidFatty Acids, Omega-3DiabetesDietary intakeMortalityNational Health and Nutrition Examination SurveyOmega-3 fatty acids

Identifiers

PMID36527499
OpenAlexW4311696971

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.